Model predictive control for building active demand response systems

被引：21
|
作者：
Lauro, Fiorella [1 ,2 ,3 ]
Moretti, Fabio [1 ,3 ]
Capozzoli, Alfonso [2 ]
Panzieri, Stefano [1 ]
机构：
[1] Roma Tre Univ, Comp Sci & Automat Dept, Via Vasca Navale 79, I-00148 Rome, Italy
[2] Politecn Torino, Dept Energy DENERG, TEBE Res Grp, I-10129 Turin, Italy
[3] Energy New Technol & Sustainable Econ Dev Agcy EN, I-00123 Rome, Italy
来源：
SUSTAINABILITY IN ENERGY AND BUILDINGS: PROCEEDINGS OF THE 7TH INTERNATIONAL CONFERENCE SEB-15 | 2015年 / 83卷
关键词：
Demand side management; Active demand response; Economic model predictive control; Energy market; Smart grid; FAULT-DETECTION ANALYSIS; SIDE MANAGEMENT; HVAC SYSTEMS; ENERGY; COMFORT;
D O I：
10.1016/j.egypro.2015.12.169
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
The Active Demand Response (ADR), integrated with the distributed energy generation and storage systems, is the most common strategy for the optimization of energy consumption and indoor comfort in buildings, considering the energy availability and the balancing of the energy production from renewable sources. In the paper an overview of basic requirements and applications of ADR management is presented. Specifically, the model predictive control (MPC) adopted in several applications as optimal control strategy in the ADR buildings context is analysed. Finally the research experience of the authors in this context is described. (C) 2015 The Authors. Published by Elsevier Ltd.
引用
收藏
页码：494 / 503
页数：10
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